*=equal contribution, #=corresponding author

A human-to-robot learning that bridges the embodiment gap with transitive 2D feature distillation and explicit 3D geometry alignment.

A dual-expert Vision-Language-Action framework that injects one-step partially denoised 3D scene flow as a latent motion prior.

A cross-embodiment framework that transfers wheeled-humanoid data to bipedal VLA models via morphology-agnostic 6D end-effector trajectories and a heuristic-enhanced online DAgger controller.

POEM-v2: a generalizable multi-view 3D hand reconstruction model trained on large-scale multi-view datasets. It enables accurate, flexible, and occlusion-robust hand mesh recovery across arbitrary multi-view setups.

AirExo-2, a low-cost exoskeleton system for large-scale in-the-wild demonstration collection. It transforms the collected in-the-wild demonstrations into pseudo-robot demonstrations. RISE-2, a generalizable imitation policy that integrates 2D and 3D perceptions.

a bidirectionally expanded learning approach that enhances auto-regressive policies for robotic manipulation. It employs a lightweight encoder-only architecture to iteratively unfold the action sequence from an initial single frame into the target sequence in a coarse-to-fine manner with logarithmic-time inference.

A two cascaded diffusion processes for object motion generation and robot action generation under object motion guidance.

A MLLM-based method that infuses language instructions into grasp generation; & A new language-pose dataset, CapGrasp, featuring detailed caption of grasping poses.

A 4D motion dataset focusing on bimanual object manipulation tasks involved in complex daily activities; & A three-tiered task abstraction: Object Affordance, Primitive Task, and Complex Task, to systematically organize manipulation tasks.

A full-body human motion dataset that captures text-guided desktop object rearrangement through MoCap and AR glasses; & A pipeline for generating avatar's motion of object rearrangement driven by text instruction.

Reconstructing 3D implicit surfaces with accurate, view-independent surface color by decoupling view-dependent shading from geometry. It combines a global color network and a relighting network to preserve volume rendering performance while enabling colored mesh extraction.

A single-view hand-held object reconstruction method that exploits the categorical shape prior to reconstruct the shape of intra-class objects; & A new synthetic dataset, COMIC, that contains the category-level collection of objects with diverse shape, materials, interacting poses, and viewing directions.

A multi-view hand mesh recovery (HMR) method with Transformer. It leverages the "power of points", including Basis Points Set, point's positional encoding and point-Transformer, to unify and merge information from sparsely arranged cameras.

A MANO-derived hand model that contains exquisite hand-crafted texture maps, varying in appearance and covering different kinds of blemishes, make-ups, and accessories.

A dataset that focuses on human grasp based on object's affordance. It contains two knowledge base: 1) Object affordance knowledge (Oak) and 2) Interaction knowledge (Ink). A new model: Tink, for transferring interaction pose from one object to another.

An online data syhthesis tool for articulated hand(-object) pose estimation. An grasping systhesis method that can generate dexterous hand grasping poses for arbitrary object.

A novel contact representation (CPF) that used to imporve physical hand-object interaction. A hybrid learning-fitting framework (MIHO) that aligns the top-down pose estimation with bottom-up contact modeling.

A novel contact representation (CPF) that used to imporve physical hand-object interaction. A hybrid learning-fitting framework (MIHO) that aligns the top-down pose estimation with bottom-up contact modeling.

A hybrid inverse kinematics method for 3D body mesh recovery, combining 3D keypoint estimation and body mesh recovery. HybrIK-X extends this to model hands and faces, offering fast, accurate whole-body pose estimation.